def test_suburb_1():
net = pn.create_synthetic_voltage_control_lv_network('suburb_1')
assert abs(net.line.length_km.sum() - 4.897) < 1e-6
assert abs(net.load.p_mw.sum() - 578.3e-3) < 1e-6
assert len(net.bus.index) == 204
assert len(net.line.index) == 202
assert len(net.trafo.index) == 1
pp.runpp(net)
assert net.converged
def test_village_2():
net = pn.create_synthetic_voltage_control_lv_network('village_2')
assert abs(net.line.length_km.sum() - 1.832) < 1e-6
assert abs(net.load.p_mw.sum() - 183.6e-3) < 1e-6
assert len(net.bus.index) == 74
assert len(net.line.index) == 72
assert len(net.trafo.index) == 1
pp.runpp(net)
assert net.converged
def test_village_1():
net = pn.create_synthetic_voltage_control_lv_network('village_1')
assert abs(net.line.length_km.sum() - 2.6) < 1e-6
assert abs(net.load.p_mw.sum() - 262.1e-3) < 1e-6
assert len(net.bus.index) == 80
assert len(net.line.index) == 78
assert len(net.trafo.index) == 1
pp.runpp(net)
assert net.converged
def test_rural_2():
net = pn.create_synthetic_voltage_control_lv_network('rural_2')
assert abs(net.line.length_km.sum() - 0.567) < 1e-6
assert abs(net.load.p_mw.sum() - 64.5e-3) < 1e-6
assert len(net.bus.index) == 18
assert len(net.line.index) == 16
assert len(net.trafo.index) == 1
pp.runpp(net)
assert net.converged
def test_rural_1():
net = pn.create_synthetic_voltage_control_lv_network('rural_1')
assert abs(net.line.length_km.sum() - 1.616) < 1e-6
assert abs(net.load.p_mw.sum() - 77e-3) < 1e-6
assert len(net.bus.index) == 26
assert len(net.line.index) == 24
assert len(net.trafo.index) == 1
pp.runpp(net)
assert net.converged
""" Pandapower tutorial on Colormaps.
Date: 3/June/2021
"""
import pandapower as pp
import pandapower.networks as nw
import pandapower.plotting as plot
import matplotlib.pyplot as plt
import numpy as np
# load network case
# net = nw.mv_oberrhein()
# net=nw.case33bw()
net = nw.create_synthetic_voltage_control_lv_network(network_class='rural_1')
# run pf
pp.runpp(net)
def plot_network(net):
# create buses ID
buses = net.bus.index.tolist() # list of all bus indices
coords = zip(net.bus_geodata.x.loc[buses].values + 0.15,
net.bus_geodata.y.loc[buses].values +
0.07) # tuples of all bus coords
bic = plot.create_annotation_collection(size=0.2,
texts=np.char.mod('%d', buses),
coords=coords,
zorder=3,
color="black")
# creating a color function to get a linear a colormap with color centers green at 30%, yellow at 50% and red at 60%
# line loading
cmap_list_lines = [(20, "green"), (50, "yellow"), (60, "red")]
